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whisper-small-diff-wo-continuous-ls-diff-enc-speech-commands-v1
gokulsrinivasagan/whisper-small-diff-wo-continuous-ls-diff-enc-speech-commands-v1
whisper-small-diff-wo-continuous-ls-diff-enc-speech-commands-v1 is a audio classification model from gokulsrinivasagan. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Mar 2, 2026
- Updated
- Mar 3, 2026
- SHA
- 04c104d0
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
whisper-small-diff-wo-continuous-ls-diff-enc-speech-commands-v1
This model was trained from scratch on the speech_commands dataset. It achieves the following results on the evaluation set:
- Loss: 1.4563
- Accuracy: 0.8004
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1436 | 1.0 | 1236 | 1.3164 | 0.7896 |
| 0.1585 | 2.0 | 2472 | 1.2858 | 0.7990 |
| 0.109 | 3.0 | 3708 | 1.3847 | 0.7986 |
| 0.0708 | 4.0 | 4944 | 1.3932 | 0.7990 |
| 0.0481 | 5.0 | 6180 | 1.4563 | 0.8004 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 3.5.0
- Tokenizers 0.22.1
- Task
- Audio Classification
- Library
- transformers
- Type
- whisper
- Created
- Mar 2, 2026
- Updated
- Mar 3, 2026